Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/22328
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dc.contributor.authorAlam, Muhammadpt
dc.contributor.authorFerreira, Joaquimpt
dc.contributor.authorMumtaz, Shahidpt
dc.contributor.authorJan, Mian Ahmadpt
dc.contributor.authorRebelo, Ruipt
dc.contributor.authorFonseca, Jose Albertopt
dc.date.accessioned2018-02-22T14:32:26Z-
dc.date.issued2017-12-
dc.identifier.issn1556-6072pt
dc.identifier.urihttp://hdl.handle.net/10773/22328-
dc.description.abstractWith the explosive growth of smart city and Internet of Things (IoT) applications in recent years, a series of efforts has been undertaken to bring more intelligence to the smart cities and public transportation to solve essential problems like human surveillance for safety, traffic, and congestion management. In this article, we define a fifth-generation (5G)-envisioned architecture to enable cooperative sensing in the IoT for smart beaches and intelligent transportation systems and to develop a reference end-to-end implementation exploiting big data. Currently, many beaches are able to offer urban sophistication, but they lack a safety and connectivity infrastructure. Similarly, the dependence on road transport in our daily lives has grown massively, along with the problems arising from its use: permanent congestion, energy waste, and excessive carbon dioxide (CO2) emissions. We aim to address these safety and connectivity challenges and thus make a qualitative leap toward the future IoT and big-data application for smart cities and mobility. We present an architecture that raises the implementation of a platform to merge and integrate heterogeneous data sources into a common system and provide a set of advanced tools for the monitoring, simulation, and prediction to achieve a safer, less congested, and better connected beach. Our results will enable advanced surveillance at beaches along with traffic and travel management strategies based on reliable, real-time input data. The effectiveness of such new strategies, together with the proposed system, is assessed in field trials.pt
dc.language.isoengpt
dc.publisherIEEEpt
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/3176711pt
dc.rightsrestrictedAccesspor
dc.subjectReal-time systemspt
dc.subjectLogic gatespt
dc.subjectSmart citiespt
dc.subjectSmart cameraspt
dc.subjectMonitoringpt
dc.subjectIntelligent sensorspt
dc.subjectPublic transportation, Traffic control, Big Datapt
dc.titleSmart cameras are making our beaches safer: a 5G-envisioned distributed architecture for safe, connected coastal areaspt
dc.typearticlept
dc.peerreviewedyespt
ua.distributioninternationalpt
degois.publication.firstPage50pt
degois.publication.issue4pt
degois.publication.lastPage59pt
degois.publication.titleIEEE Vehicular Technology Magazinept
degois.publication.volume12pt
dc.date.embargo10000-01-01-
dc.identifier.doi10.1109/MVT.2017.2753540pt
Appears in Collections:ESTGA - Artigos

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